Literature DB >> 25668591

High-throughput prescreening of pharmaceuticals using a genome-wide bacterial bioreporter array.

Tal Elad1, Ho Bin Seo2, Shimshon Belkin1, Man Bock Gu3.   

Abstract

We assessed the applicability of multi-strain bacterial bioreporter bioassays to drug screening. To this end, we investigated the reactions of a panel of 15 luminescent recombinant Escherichia coli bacterial bioreporters to a library of 420 pharmaceuticals. The panel included bacterial bioreporters associated with oxidative stress, DNA damage, heat shock, and efflux of excess metals. Eighty nine drugs elicited a response from at least one of the panel members and formed distinctive clusters, some of which contained closely related drugs. In addition, we tested a group of selected nine drugs against a collection of about 2000 different fluorescent transcriptional reporters that covers the great majority of gene promoters in E. coli. The sets of induced genes were in accord with the in vitro toxicity of the tested drugs, as reflected by the response patterns of the 15-member panel, and provided more insights into their toxicity mechanisms. Facilitated by microplates and robotic systems, all assays were conducted in high-throughput. Our results thus suggest that multi-strain assemblages of bacterial bioreporters have the potential for playing a significant role in drug development alongside current in vitro toxicity tests.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bacterial reporter; Drug screening; Fluorescent transcriptional reporter; Luminescent bacteria

Mesh:

Year:  2015        PMID: 25668591     DOI: 10.1016/j.bios.2015.01.067

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  5 in total

1.  Simultaneous elucidation of antibiotic mechanism of action and potency with high-throughput Fourier-transform infrared (FTIR) spectroscopy and machine learning.

Authors:  Bernardo Ribeiro da Cunha; Luís P Fonseca; Cecília R C Calado
Journal:  Appl Microbiol Biotechnol       Date:  2021-01-14       Impact factor: 4.813

Review 2.  Recent Advances in Genetic Technique of Microbial Report Cells and Their Applications in Cell Arrays.

Authors:  Do Hyun Kim; Moon Il Kim; Hyun Gyu Park
Journal:  Biomed Res Int       Date:  2015-09-07       Impact factor: 3.411

3.  Bayesian-based decipherment of in-depth information in bacterial chemical sensing beyond pleasant/unpleasant responses.

Authors:  Hiroto Tanaka; Yasuaki Kazuta; Yasushi Naruse; Yukihiro Tominari; Hiroaki Umehara; Yoshiyuki Sowa; Takashi Sagawa; Kazuhiro Oiwa; Masato Okada; Ikuro Kawagishi; Hiroaki Kojima
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

4.  Discovery of antimicrobials by massively parallelized growth assays (Mex).

Authors:  Philipp Koch; Steven Schmitt; Mathias Cardner; Niko Beerenwinkel; Sven Panke; Martin Held
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.996

Review 5.  Technologies for High-Throughput Identification of Antibiotic Mechanism of Action.

Authors:  Bernardo Ribeiro da Cunha; Paulo Zoio; Luís P Fonseca; Cecília R C Calado
Journal:  Antibiotics (Basel)       Date:  2021-05-12
  5 in total

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